Publication Initial growth rates of epidemics fail to predict their reach: A lesson from large scale malware spread analysis Lev Muchnik, Elad Yom-Tov, Nir Levy, Amir Rubin, Yoram Louzoun August 2020 ArXiv preprint | August 2020 Project
Publication Politicians, Social Media, and Digital Publics: Old Rights, New Terrain Sarah Sobieraj, Gina M. Masullo, Philip N. Cohen, Tarleton Gillespie, Sarah J. Jackson American Behavioral Scientist | August 2020 Project
Publication Contract Design for Afforestation Programs Nicole Immorlica, Wanyi Li, Brendan Lucier August 2020 AI for Good | August 2020
Publication Content moderation, AI, and the question of scale Tarleton Gillespie Big Data & Society | August 2020 Project
Publication Bid Prediction in Repeated Auctions with Learning Gali Noti, Vasilis Syrgkanis July 2020 ArXiv | July 2020
Publication Cross-validation Confidence Intervals for Test Error Pierre Bayle, Alexandre Bayle, Lucas Janson, Lester Mackey July 2020 ArXiv | July 2020
Publication Generalizing Variational Autoencoders with Hierarchical Empirical Bayes. Wei Cheng, Gregory Darnell, Sohini Ramachandran, Lorin Crawford arXiv | July 2020
Publication Escaping Cannibalization? Correlation-Robust Pricing for a Unit-Demand Buyer Moshe Babaioff, Michal Feldman, Yannai A. Gonczarowski, Brendan Lucier, Inbal Talgam-Cohen The 21th ACM conference on Economics and Computation (ACM EC 2020) | July 2020
Publication Beyond Perturbations: Learning Guarantees with Arbitrary Adversarial Test Examples Shafi Goldwasser, Adam Tauman Kalai, Yael Tauman Kalai, Omar Montasser NeurIPS 2020 | July 2020
Publication Privacy-Preserving Automated Exposure Notification Ran Canetti, Yael Tauman Kalai, Anna Lysyanskaya, Ronald L. Rivest, Adi Shamir, Emily Shenk, Ari Trachtenberg, Mayank Varia, Daniel J. Weitzner July 2020 IACR.org | July 2020 Project
Research
Research